ConceptChat - Interactive Learning Conversations

ConceptChat is an application that helps students review and practice educational concepts through interactive AI-powered conversations. The application provides a chat interface where students can engage in dialogue about various subjects, receive explanations, answer practice questions, and track their learning progress.

Features

  • Interactive conversational interface for learning
  • Support for multiple subjects and topics
  • Adaptive learning based on student performance
  • Progress tracking and review suggestions
  • Personalized learning experience

Project Structure

├── backend/
│   ├── database/
│   │   ├── migrations.ts    # Schema definitions
│   │   └── queries.ts       # DB query functions
│   ├── routes/              # Route modules
│   │   └── api.ts           # API endpoints
│   └── index.ts             # Main entry point
├── frontend/
│   ├── components/
│   │   ├── App.tsx          # Main application component
│   │   ├── Chat.tsx         # Chat interface component
│   │   ├── ConceptList.tsx  # List of available concepts
│   │   └── ProgressTracker.tsx # Learning progress component
│   ├── index.html           # Main HTML template
│   └── index.tsx            # Frontend JS entry point
└── shared/
    └── types.ts             # Shared types and interfaces

How It Works

  1. Students select a subject or topic they want to study
  2. The application initiates a conversation about the selected topic
  3. Through natural dialogue, the AI helps explain concepts, asks questions, and provides feedback
  4. The system tracks which concepts the student understands well and which need more review
  5. Based on performance, the system suggests additional practice on challenging concepts

Technologies Used

  • Backend: Hono (API framework)
  • Frontend: React with TypeScript
  • Database: SQLite for data storage
  • AI: OpenAI API for conversational learning
  • Styling: TailwindCSS